Christopher Morris

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Nils M. KriegeUniversity of ViennaPreverjeni e-poštni naslov na univie.ac.at
Petra MutzelProfessorin für Informatik, Universität BonnPreverjeni e-poštni naslov na cs.uni-bonn.de
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISPreverjeni e-poštni naslov na cs.tu-darmstadt.de
Gaurav RattanResearcher, TU DarmstadtPreverjeni e-poštni naslov na mathematik.tu-darmstadt.de
Matthias FeyFounding Engineer @ kumo.aiPreverjeni e-poštni naslov na tu-dortmund.de
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityPreverjeni e-poštni naslov na informatik.rwth-aachen.de
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaPreverjeni e-poštni naslov na cs.mcgill.ca
Marion NeumannWashington University in St. LouisPreverjeni e-poštni naslov na wustl.edu
Jan Eric LenssenMax Planck Institute for InformaticsPreverjeni e-poštni naslov na mpi-inf.mpg.de
Jure LeskovecProfessor of Computer Science, Stanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Rex (Zhitao) YingYale UniversityPreverjeni e-poštni naslov na yale.edu
Xiang RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaPreverjeni e-poštni naslov na usc.edu
Jiaxuan YouIncoming Assistant Professor, UIUC CSPreverjeni e-poštni naslov na cs.stanford.edu
Martin RitzertGeorg-August Universität GöttingenPreverjeni e-poštni naslov na informatik.uni-goettingen.de
Elias B. KhalilAssistant Professor, University of TorontoPreverjeni e-poštni naslov na mie.utoronto.ca
Andrea LodiCornell Tech and Technion -- IITPreverjeni e-poštni naslov na cornell.edu
Franka BauseUniversity of ViennaPreverjeni e-poštni naslov na univie.ac.at
Didier ChételatSenior Researcher, Huawei Noah's Ark labPreverjeni e-poštni naslov na huawei.com
Fredrik D. JohanssonAssociate Professor, Chalmers University of TechnologyPreverjeni e-poštni naslov na chalmers.se
Petar VeličkovićStaff Research Scientist, Google DeepMind | Affiliated Lecturer, University of CambridgePreverjeni e-poštni naslov na deepmind.com

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Christopher Morris

RWTH Aachen University

Preverjeni e-poštni naslov na cs.rwth-aachen.de - Domača stran

Machine learning on graphs graph neural networks machine learning for combinatorial optimization discrete algorithms


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Hierarchical graph representation learning with differentiable pooling R Ying, J You, C Morris, X Ren, WL Hamilton, J Leskovec Advances in Neural Information Processing Systems 32, 2018	1447	2018
Weisfeiler and leman go neural: Higher-order graph neural networks C Morris, M Ritzert, M Fey, WL Hamilton, JE Lenssen, G Rattan, M Grohe Proceedings of the AAAI conference on artificial intelligence 33 (01), 4602-4609, 2019	1270	2019
TUDataset: A collection of benchmark datasets for learning with graphs C Morris, NM Kriege, F Bause, K Kersting, P Mutzel, M Neumann ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+ 2020), 2020	798*	2020
A survey on graph kernels NM Kriege, FD Johansson, C Morris Applied Network Science 5 (1), 1-42, 2020	415	2020
Combinatorial Optimization and Reasoning with Graph Neural Networks PV Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi ... Journal of Machine Learning Research 24, 2023	232	2023
Deep graph matching consensus M Fey, JE Lenssen, C Morris, J Masci, NM Kriege ICLR 2020, 2020	202	2020
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings C Morris, G Rattan, P Mutzel Advances in Neural Information Processing Systems 33, 2020	136*	2020
Faster kernels for graphs with continuous attributes via hashing C Morris, NM Kriege, K Kersting, P Mutzel 2016 IEEE 16th International Conference on Data Mining (ICDM), 1095-1100, 2016	112	2016
Glocalized weisfeiler-lehman graph kernels: Global-local feature maps of graphs C Morris, K Kersting, P Mutzel 2017 IEEE International Conference on Data Mining (ICDM), 327-336, 2017	99	2017
Weisfeiler and leman go machine learning: The story so far C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ... arXiv preprint arXiv:2112.09992, 2021	63	2021
Reconstruction for Powerful Graph Representations L Cotta, C Morris, B Ribeiro Advances in Neural Information Processing Systems 34, 2021	54	2021
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels NM Kriege, C Morris, A Rey, C Sohler IJCAI, 2348-2354, 2018	33	2018
A unifying view of explicit and implicit feature maps of graph kernels NM Kriege, M Neumann, C Morris, K Kersting, P Mutzel Data Mining and Knowledge Discovery 33, 1505-1547, 2019	32*	2019
Temporal graph kernels for classifying dissemination processes L Oettershagen, NM Kriege, C Morris, P Mutzel Proceedings of the 2020 SIAM International Conference on Data Mining, 496-504, 2020	31*	2020
Ordered Subgraph Aggregation Networks C Qian, G Rattan, F Geerts, C Morris, M Niepert Advances in Neural Information Processing Systems 35, 2022	28	2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks C Morris, G Rattan, S Kiefer, S Ravanbakhsh ICML 2022, 2022	25	2022
Attending to graph transformers L Müller, M Galkin, C Morris, L Rampášek arXiv preprint arXiv:2302.04181, 2023	23	2023
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers EB Khalil, C Morris, A Lodi AAAI 2022, 2022	23	2022
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs C Morris, M Fey, NM Kriege IJCAI, 2021	23*	2021
Output‐sensitive complexity of multiobjective combinatorial optimization F Bökler, M Ehrgott, C Morris, P Mutzel Journal of Multi‐Criteria Decision Analysis 24 (1-2), 25-36, 2017	23	2017

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